{"id":"W4405490760","doi":"10.1109/embc53108.2024.10781763","title":"Towards Non-Invasive Swallowing Assessment: an AI-Powered Interface for Swallowing Kinematic Analysis using High-Resolution Cervical Auscultation","year":2024,"lang":"en","type":"article","venue":"","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; University of Toronto","funders":"HORIZON EUROPE Health","keywords":"Swallowing; Auscultation; Kinematics; Computer science; Physical medicine and rehabilitation; Medicine; Radiology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128399,0.0008574908,0.0004224952,0.0008065163,0.0001640467,0.001252778,0.001067806,0.001144312,0.006259349],"category_scores_gemma":[0.005126252,0.0002250613,0.0003919564,0.0003650175,0.0003010483,0.001278316,0.0009379305,0.0005004818,0.003383024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445016,"about_ca_system_score_gemma":0.0004233937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007668019,"about_ca_topic_score_gemma":0.0006225909,"domain_scores_codex":[0.999141,0.0002015427,0.0000747953,0.0001768156,0.0003661815,0.0000396631],"domain_scores_gemma":[0.9978253,0.0009263384,0.000119963,0.0001854158,0.0007866602,0.00015639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001376206,0.000488708,0.01052853,0.00124214,0.0001027065,0.0006971126,0.001258245,0.001299135,0.2999405,0.001754906,0.0100666,0.6712452],"study_design_scores_gemma":[0.0008936325,0.007722065,0.1347064,0.001506233,0.00110655,0.01438197,0.00132009,0.2718659,0.3663605,0.006960339,0.1923766,0.0007996315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1202954,0.00125681,0.8448718,0.0008192398,0.0003784348,0.001660194,0.0007473318,0.02157254,0.00839834],"genre_scores_gemma":[0.3536948,0.0007878396,0.6312971,0.001456332,0.0003105195,0.0009561841,0.000799822,0.0006842068,0.01001316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006259349,"threshold_uncertainty_score":0.02093965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05145193697645523,"score_gpt":0.4566890901302387,"score_spread":0.4052371531537834,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}